{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7dabde1c-1f78-4ae1-9d15-6bf3b0543934",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "模拟数据已生成并保存到 sensor_data.csv\n"
     ]
    }
   ],
   "source": [
    "# generate_data.py 准备数据（模拟真实场景）\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# 设置随机种子，确保每次生成的数据都一样\n",
    "np.random.seed(42)\n",
    "\n",
    "# 1. 生成时间戳（假设有5天数据，每分钟一次）\n",
    "time_index = pd.date_range(start='2023-01-01', periods=5 * 24 * 60, freq='T') # 'T'代表分钟\n",
    "\n",
    "# 2. 生成正常的温度数据（围绕25度正常波动）\n",
    "normal_temperature = 25 + 0.5 * np.random.randn(len(time_index)) # randn生成正态分布随机数\n",
    "\n",
    "# 3. 手动注入一些异常值\n",
    "# 例如：在第1000个数据点插入一个高温异常\n",
    "normal_temperature[1000] = 40  # 异常值1：突然飙升\n",
    "# 在第2000个数据点插入一个低温异常\n",
    "normal_temperature[2000] = 10  # 异常值2：突然骤降\n",
    "# 模拟一段连续异常（如设备持续发热）\n",
    "normal_temperature[3000:3010] = 38  # 异常值3：持续异常\n",
    "\n",
    "# 4. 创建DataFrame并保存为CSV\n",
    "df = pd.DataFrame({\n",
    "    'timestamp': time_index,\n",
    "    'temperature': normal_temperature\n",
    "})\n",
    "df.to_csv('sensor_data.csv', index=False)\n",
    "\n",
    "print(\"模拟数据已生成并保存到 sensor_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d9c33246-d09b-45ae-9e54-a919ce37c74c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7200 entries, 0 to 7199\n",
      "Data columns (total 2 columns):\n",
      " #   Column       Non-Null Count  Dtype         \n",
      "---  ------       --------------  -----         \n",
      " 0   timestamp    7200 non-null   datetime64[ns]\n",
      " 1   temperature  7200 non-null   float64       \n",
      "dtypes: datetime64[ns](1), float64(1)\n",
      "memory usage: 112.6 KB\n",
      "None\n",
      "            timestamp  temperature\n",
      "0 2023-01-01 00:00:00    25.248357\n",
      "1 2023-01-01 00:01:00    24.930868\n",
      "2 2023-01-01 00:02:00    25.323844\n",
      "3 2023-01-01 00:03:00    25.761515\n",
      "4 2023-01-01 00:04:00    24.882923\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# explore_data.py 数据探索和可视化\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 1. 读取数据\n",
    "df = pd.read_csv('sensor_data.csv', parse_dates=['timestamp']) # 解析时间戳\n",
    "\n",
    "# 2. 查看数据基本信息\n",
    "print(df.info())\n",
    "print(df.head())\n",
    "\n",
    "# 3. 绘制温度随时间变化的曲线\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(df['timestamp'], df['temperature'], linewidth=0.5)\n",
    "plt.title('Satellite Temperature Sensor Data (with Anomalies)')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Temperature (°C)')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e868b905-05d1-4cc7-a6f9-f2de049e8878",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\programs\\python\\python37\\lib\\site-packages\\sklearn\\base.py:451: UserWarning: X does not have valid feature names, but IsolationForest was fitted with feature names\n",
      "  \"X does not have valid feature names, but\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检测到 72 个异常点\n",
      "               timestamp  temperature  anomaly_flag\n",
      "74   2023-01-01 01:14:00    23.690127            -1\n",
      "209  2023-01-01 03:29:00    26.926366            -1\n",
      "262  2023-01-01 04:22:00    23.379366            -1\n",
      "478  2023-01-01 07:58:00    26.539440            -1\n",
      "646  2023-01-01 10:46:00    23.651557            -1\n",
      "...                  ...          ...           ...\n",
      "6663 2023-01-05 15:03:00    23.646228            -1\n",
      "6738 2023-01-05 16:18:00    26.467703            -1\n",
      "6891 2023-01-05 18:51:00    26.764528            -1\n",
      "7140 2023-01-05 23:00:00    23.389492            -1\n",
      "7147 2023-01-05 23:07:00    23.674086            -1\n",
      "\n",
      "[72 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "# anomaly_detection.py训练AI模型并进行预测\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.ensemble import IsolationForest\n",
    "\n",
    "# 1. 读取数据\n",
    "df = pd.read_csv('sensor_data.csv', parse_dates=['timestamp'])\n",
    "\n",
    "# 2. 准备数据给模型\n",
    "# 孤立森林模型需要输入特征（X），这里我们只有温度一维数据\n",
    "X = df[['temperature']]\n",
    "\n",
    "# 3. 创建并训练模型\n",
    "# contamination参数是对数据中异常比例的估计，我们设置一个较小的值（如0.01表示1%）\n",
    "model = IsolationForest(n_estimators=100, contamination=0.01, random_state=42)\n",
    "model.fit(X) # 无监督学习，不需要标签y！\n",
    "\n",
    "# 4. 进行预测\n",
    "# 模型会返回每个数据点的预测标签：1表示正常，-1表示异常。\n",
    "predictions = model.predict(X)\n",
    "\n",
    "# 5. 将预测结果添加到DataFrame中\n",
    "df['anomaly_flag'] = predictions\n",
    "\n",
    "# 6. 提取异常点\n",
    "anomalies = df[df['anomaly_flag'] == -1]\n",
    "print(f\"检测到 {len(anomalies)} 个异常点\")\n",
    "print(anomalies)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "33aa4312-0080-4dc1-b844-d6459e7606fa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize_results.py 结果可视化\n",
    "# （接上面的代码）\n",
    "\n",
    "# 绘制原始数据曲线\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(df['timestamp'], df['temperature'], label='Normal Data', linewidth=0.5, color='blue')\n",
    "\n",
    "# 在异常点的位置绘制红色圆点\n",
    "plt.scatter(anomalies['timestamp'], anomalies['temperature'], color='red', label='Detected Anomaly', s=20) # s是点的大小\n",
    "\n",
    "plt.title('Satellite Temperature Sensor Data with Anomalies Detected')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Temperature (°C)')\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "# 分析和讨论\n",
    "\n",
    "# 运行完所有代码后，观察结果：\n",
    "\n",
    "#     •AI成功找出了你注入的所有异常点吗？\n",
    "#     •它有没有误判一些正常点为异常（假警报）？\n",
    "#     •尝试调整contamination参数（比如从0.01调到0.02），看看结果有什么变化？\n",
    "#     •思考：如果数据有多個传感器（如温度、电压、压力），算法该如何改进？\n",
    "#    （提示：只需将X = df[['temperature']]改为X = df[['temperature', 'voltage', 'pressure']]即可，这就是AI的威力！）\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
